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A systematic review of social media as a teaching and learning tool in higher education: A theoretical grounding perspective

• Open access
• Published: 01 March 2023
• Volume 28 , pages 11921–11950, ( 2023 )

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• Eva Perez   ORCID: orcid.org/0000-0002-4476-899X 1 ,
• Stefania Manca 2 ,
• Rosaura Fernández-Pascual 3 &
• Conor Mc Guckin 1  

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The use of social media in higher education has been demonstrated in a number of studies to be an attractive and contemporary method of teaching and learning. However, further research and investigation are required in order to align social media's pedagogical benefits with the theoretical perspectives that inform educational practices. It is the objective of this study to provide a systematic literature review using bibliometric analysis techniques and content analysis to provide a map of research produced between 2009 and 2021. This study aims to identify theoretical frameworks, current research trends, and patterns in this field. A total of 772 publications were analysed using bibliometric methodology, while a subset of 55 publications were analysed using content analysis. As indicated by the results, there is still a growing interest in this area of research, with recent studies still focusing on attitudes towards the use of social media in teaching and learning. According to the content analysis, technology acceptance theories and learning theories are the most commonly used reference theories. This field has yet to elaborate on pedagogical theory, and there is a tendency to rely primarily on technology acceptance models rather than pedagogical models. A discussion of future practice and research implications is also provided.

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1 Introduction

The popularity of social media, among students, has increased dramatically in recent years because of technological advances in Web 2.0 tools (Eid & Al-Jabri, 2016 ; Tess, 2013 ). Indeed, social media has attracted over three billion active users across the globe (Statista, 2022 ). Such technologies have demonstrated their potential for learning and teaching due to its functions for document exchange, virtual communication and knowledge information (Hosen et al., 2021 ; Manca & Ranieri, 2017 ). Social networking sites (e.g., Facebook, Twitter, Instagram), and online games have been widely used for information gathering and dissemination, collaborative learning, and online social and professional connections (Cao et al., 2013 ). Most recently, Manca’s ( 2020 ) review of Instagram, Pinterest, Snapchat and WhatsApp revealed that the two most common activities used for learning by students were content development and discussion for peer learning/assessment. The potential use of social media for teaching and learning activities has received an increased amount of interest and attention from the scholarly community (Barrot, 2021a ). A number of studies have presented evidence regarding the use of social media by academics for personal, professional, and teaching purposes (Johnson & Veletsianos, 2021 ; Manca & Ranieri, 2016a , 2016b ). In terms of specific social media platforms, some researchers have found that Facebook groups are an effective tool to support learning, affording benefits not offered by traditional online Learning Management Systems (LMS) (Barrot, 2018 ; Chugh & Ruhi, 2018 ; Hew, 2011 ; Niu, 2019 ). Similarly, Tang and Hew ( 2017 ) noted the potential of promoting positive learning using Twitter to access and create digital content and collaboration between learners. Recently, studies have extended towards the utility of social media platforms such as Pinterest, Instagram, and Snapchat. Manca ( 2020 ) notes that whilst these platforms have been gaining considerable attention among young people, they have been largely overlooked in the scholarly literature.

Social media, however, has also been shown to challenge traditional beliefs about education and pedagogy in schools and universities. According to some scholars (Manca & Ranieri, 2017 ), educators should pay particular attention to the following themes, primarily communication between students and teachers and professional conduct, as well as the integration of social networking practices into academic and teaching practices from a technological and educational perspective. Besides, other challenges included cultural and social factors that resulted in the erosion of teachers' traditional roles, the management of relationships with students, and privacy threats. Other factors included psychological resistance, traditional visions of instruction, a lack of technical support, perceived risks, institutional issues, pedagogical views, pragmatic reasons, and values.

Despite the increasing level of interest and the growing body of empirical research on specific uses of social media (Alshalawi, 2022 ; Manca & Ranieri, 2016c ; Sobaih et al., 2016 ), very few studies have been conducted to systematically examine how academics are utilizing social media within their teaching engagements and have mapped the use of social media in education across the various disciplinary fields (Barrot, 2021a ; Rehm et al., 2019 ).

Although social media use in higher education has become relatively common (Barrot, 2021a ), there is still much to be researched in order to develop a better understanding of its use as a teaching and learning tool (Sutherland et al., 2020 ). In fact, research has demonstrated that evidence-based pedagogical approaches informed by relevant empirical research are weak (Chugh et al., 2021 ). Thus, there is a necessity for further empirical work, grounded in teaching, learning, and educational technology theories, that can advance this growing field of education (Valtonen et al., 2022 ). The challenge for the development of a pedagogy for social media integration is to encourage robust and theoretically driven research that can explore the application of established learning theories and the facilitation of social media in teaching and learning (Churcher et al., 2014 ). Our belief is that focusing on the need for theoretical integration can help mitigate some of the shortcomings associated with the challenges described above.

The purpose of this study was to conduct a systematic review of the use of social media for teaching and learning purposes in higher education (2009–2021) utilizing bibliometric methods and content analysis. A primary objective of the study is to assess the degree of theoretical soundness of the studies published to date and to map the current state of the art in regard to the use of social media in teaching and learning.

This study focuses on two aspects of value: on the one hand, it examines the theoretical robustness of studies regarding teaching and learning processes based on the use of social media in higher education that have been published to date; on the other hand, it employs a mixed-method approach combining bibliometric analysis with qualitative analysis to examine the teaching and learning processes. It is our understanding that this is the first study that attempts to accomplish these objectives.

2 Theoretical background

2.1 learning benefits of social media in higher education.

Various studies have demonstrated the use of social media as a supportive and interactive tool for learning in higher education (Everson et al., 2013 ; Greenhow & Galvin, 2020 ; Manca, 2020 ; Manca & Ranieri, 2013 ). Some studies have focused on social media platforms such as Facebook, Twitter, and YouTube (Everson et al., 2013 ) or Instagram, Pinterest, Snapchat, and WhatsApp (Manca, 2020 ). The benefits of using social media in higher education has been shown to promote student-centred pedagogies (Camas Garrido et al, 2021 ). For example, the most commonly reported positive effect of Facebook is its capacity as a learning tool for enhanced communication, collaboration, and sharing of information (Niu, 2019 ). Indeed, Facebook groups are the most reliable feature to conduct learning activities (Manca & Ranieri, 2016c ), whereas Twitter has most commonly been used for communication and assessment purposes (Tang & Hew, 2017 ). In general, the use of social media has a positive impact on student learning. However, this is not necessarily attributed to the technologies per se, but to how the technologies are used, and how certain pedagogy and/or instructional strategy is developed (Hew & Cheung, 2013 ). As argued by Greenhow et al. ( 2019 ), educators should show clarity in studying evidence-based pedagogical approaches to teaching.

Some researchers (e.g., Churcher et al., 2014 ) have reported upon how the application of learning theories can facilitate social media integration in order to create virtual communities of practice and generate positive learning outcomes. The main focus of social constructivist learning theories is on learning as a process of active discovery and the construction of knowledge in a social and cultural context (Aubrey & Riley, 2016 ). In this line, social media support social constructivism theory (Dron & Anderson, 2014 ) as it is perceived by educators to provide direction for social constructivist teaching styles (Rambe & Nel, 2015 ). In addition, the connectivist approach views learning as a network phenomenon influenced by technology and socialization (Siemens, 2006 ), as learners are encouraged to engage in peer-to-peer dialogue, sharing resources and promote communication skills (Siemens & Weller, 2011 ). From this perspective, social media can provide a platform for mixing learning and social activities (Manca, 2020 ).

In general, while students at all levels seem to harbour positive views on academic uses and applications of social media, educators appear to be somewhat more cautious than students (Piotrowski, 2015 ). Academics are most likely to use social media for research and career development than to support learning and teaching activities (Chugh et al., 2021 ; Manca & Ranieri, 2016b ). This is likely due to the fact that it can be difficult for educators to maintain best practice of pedagogy while continuously learning how to incorporate emerging technologies (Churcher et al., 2014 ). Existing research on the use of social media in higher education has been mostly about the effectiveness of social media as a teaching and learning tool (Manca & Ranieri, 2013 , 2016b ; Tess, 2013 ), but there has been a lack of empirical data (Mnkandla & Minnaar, 2017 ) and support from theory (Al-Qaysi et al., 2020 ).

Ngai et al. ( 2015 ) argue that the development of a theoretical framework for work in this area can be supported by a combination of both technology and educational theories. Al-Qaysi et al. ( 2020 ) found that whereas the Uses and Gratification Theory (UGT: Katz, 1959 ) and the social constructivism theory (Wertsch, 1985 ) are the most widely used educational theories in social media, the Technology Acceptance Model (TAM: Davis, 1989 ) and the Unified Theory of Acceptance and Use of Technology (UTAUT: Venkatesh & Davis, 2000 ) are the most extensively used technology theories in studying social media adoption in education.

Indeed, there is a lack of theoretically based research that could lead to a coherent set of practices regarding the use of social media use in higher education. This shortcoming of theoretical development in pedagogical approaches to the use of social media in higher education has important implications also for social media literacies. Manca et al. ( 2021 ) remind us that educators who do not integrate learning theory into their teaching practices run the risk of having a superficial understanding of the construction and development of meaning in favour of centring technology.

This review of the literature purposely focuses upon research that is theoretically grounded and examines the most recurrent models and theories adopted to support pedagogical use of social media in higher education.

2.2 Systematic reviews on social media in education

The increasing number of systematic reviews related to the use of social media in education highlights the importance of these reviews in shaping educational research, identifying future research directions, and bridging the research-practice divide (Chong et al., 2022 ). Scholars have adopted several approaches to systematic reviews of scientific literature: (1) qualitative synthesis (e.g., Manca, 2020 ; Niu, 2019 ); (ii) meta-analysis (also known as quantitative synthesis) (e.g., Al-Qaysi et al., 2020 ; Mnkandla & Minnaar, 2017 ); (iii) qualitative and quantitative synthesis (e.g., Greenhow & Askari, 2017 ; Manca & Ranieri, 2013 , 2016b ; Manca et al., 2021 ; Tang & Hew, 2017 ); (iv) bibliometric analysis (e.g., Barrot, 2021a ; Lopes et al., 2017 ; Rehm et al., 2019 ); and most recently (v) mixed methods approach using bibliometric analysis and qualitative analysis (e.g., Barrot, 2021b ).

Most recent systematic reviews have utilised bibliometrics—a quantitative analysis of the bibliographic characteristics of a growing body of literature (Lopes et al., 2017 ). Although there has been an increase in the use of this approach across various academic fields, the method is relatively new to educational research (Arici et al, 2019 ; Chen, Zhou & Xie, 2020 ; Gumus et al., 2018 ; Song et al, 2019 ). In the area of our interest, there has been a paucity of research that has used the bibliographic method, even in conjunction with more traditional approaches, such as qualitative ones.

In their bibliometric analyses, Lopes et al. ( 2017 ) explored the use of Facebook in educational research, used Web of Science as the database to generate 260 articles from multiples levels of screening. The study found that most articles focused on social media, student’s learning, and case study research designs. It validated the versatility of Facebook as a platform for teaching and learning across different countries and disciples, however it did not study theories or models that can best examine Facebook acceptance.

In their bibliometric analysis, Rehm and colleagues ( 2019 ) focused on multiple social media platforms. Their findings showed that five out of the top 20 cited papers across all journals on instructional design and technology scholarship between 2007 and 2017 were on social media, indicating the growing interest in this topic within educational research.

Barrot ( 2021a ) examined the scientific literature related to the use of social media for education. They found that, out of the 15 examined social media platforms, Facebook, Twitter, and YouTube attracted the greatest attention. The data also revealed that studies on Facebook (9 out of 10) stand out in terms of citation. These findings suggest a growing interest in the use of Facebook for educational purposes. The authors suggested two possible reasons for this. Firstly, as the number of social media platforms and active users increases, so too does the number of research projects that explore their pedagogical use. Secondly, the more sophisticated the platform, the more likely it is to be used for teaching and learning.

From this review, it can be seen that only a few studies so far have mapped the scientific literature of social media in higher education using a mixed method approach – more precisely, content and bibliometric analyses. To complement and extend these earlier reviews, the current systematic review mapped the scientific literature of social media as a teaching and learning tool, giving a wider coverage to determine which theoretical frameworks can best examine the acceptance and pedagogical use of social media in higher education. Thus, the current study was undertaken to understand the landscape of scholarly work in social media as a teaching and learning tool in higher education, particularly its growth, geographical and publication distribution, speech patterns, referring to most commonly used terms or dominant terms, regarding the evolution of the term “social media”, and the analysis of theories / models that are used to examine social media acceptance and adoption in higher education.

3 Rationale and research question

In this study, social media is examined from a theoretical perspective, with a focus on studies which have used theory to help explain social media integration as a teaching and learning tool in higher education. A body of literature has developed recently that links theory with the use of social media in terms of pedagogical best practice. For example, the TAM model (Davis, 1989 ) was utilised to examine the educational outcomes of social media use in teaching (Cao et al., 2013 ), whereas social constructivism theory was used to investigate the potential of Facebook and wikis as collaborative learning tools (Churcher et al., 2014 ). Advancing previous traditional and single method approaches to reviewing literatures, this study advances a mixed-methods approach to explore connections among research articles published between 2009 and 2021. Specifically, this study addresses the following research questions:

What are the main characteristics of the scientific literature in terms of (a) year of publication, (b) publication outlets, (c) leading countries, and (d) affiliations and core authors?

What are the most frequent speech patterns and research trends within the studies?

What theoretical frameworks / models were employed in the studies to guide social media integration in education? And, which study aims are most commonly aligned with such frameworks / models?

A mixed methods approach combining quantitative (bibliometric analysis) and qualitative (content analysis) methods was used to develop a complementary picture of the research area in terms of context for trends (Plano Clark, 2010 ) and to triangulate findings in order that they may be mutually corroborated (Bryman, 2006 ). Qualitative content analysis is useful for “... the subjective interpretation of the content of text data through the systematic classification process of coding and identifying themes or patterns” (Hsieh & Shannon, 2005 ; p 1278). Bibliometric analysis is a rigorous, systematic, and innovative method for analysing publication productions and research trends (de Oliveira et al., 2019 ; Erfanmanesh & Abrizah, 2018 ). It enables the identification of relationships among different aspects of the scientific literature through the analysis of publications and documents according to specific characteristics, such as authors, journals, institutions and countries (Esen et al., 2020 ).

The analysed studies were sourced from ERIC and Web of Science and those published from 2009 to June 2021 were included. 2009 was the first recorded fit for the criteria of concern to this study, which is in line with recent studies that have highlighted that social media started to gain attention in 2010 (Valtonen et al., 2022 ). The Web of Science (WoS) was used as a search database in this study since it is the most important bibliometric database (Pranckutė, 2021 ), whereas ERIC on EBSCO databases was used as a subject specific database in education research (ERIC,  https://eric.ed.gov/?faq ).

To increase the accuracy of the current analysis, books, book chapters, and book reviews were excluded, with a focus on peer-reviewed articles, proceedings papers, and literature reviews (Leong et al., 2021 ).

The two databases were searched using the following search string:

(TS = (("social media" OR "social networking site*" OR facebook OR twitter OR Instagram)) AND TS = (("higher education" OR "third level" OR universit* OR college OR academic*)) AND TS = ((teaching OR learning OR "educational tool*"))) AND ((LA == ("ENGLISH")) NOT (DT == ("BOOK" OR "BOOK REVIEW" OR "BOOK CHAPTER"))

This study methodology is based on PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines (Moher et al., 2009 ). PRISMA supports a transparent approach for systematic reviews and ensures a replicable procedure (e.g., review protocol, search strategy, article selection criteria). When considering the criteria for inclusion and exclusion of literature the emphasis was upon studies assessing the use of social media as a teaching and learning tool and not, for instance, as a marketing / communication too. In addition, studies focused on English as a second language were excluded as these are often seen as courses that provide support to leaners, rather than leading to a defined exit award per se. Table 1 presents the screening criteria.

The first screening of sourced articles ( N  = 4,277) involved analyses of titles and abstracts. This process resulted in 812 records. Some reasons for exclusion included: studies related to studying English language; use of social media for communication purposes; studies focused on cyberbullying; social media addiction; social media marketing.

The second level of screening involved checking the full paper, classifying the study in terms of sources and to identify theoretical frameworks or models—hence selecting them for the content analysis. This resulted in 772 records, which were all eligible for bibliometric analysis. The following four characteristics were most predominant: (i) studies presenting a theoretical framework / model ( n  = 55), (ii) empirical studies about teaching and learning without theory ( n  = 221), (iii) studies about perceptions and attitudes without theory ( n  = 424), and (iv) conceptual studies ( n  = 72). For the content analysis, only the 55 studies that utilised a theoretical framework / model were included (Fig.  1 ).

The PRISMA flowchart

4.1 Procedure

Analyses commenced with bibliometric analysis of the 772 articles obtained through the second screening, identifying the main characteristics of the selected publications (year of publication, publication venues, authors, institutions, countries, and most frequent used terms).

Network visualization displaying the relationships among the main words used in abstracts were created using the VOS clustering technique (Van Eck & Waltman, 2010 ). VOSViewer software provides distance-based maps and identifies the clusters of co-occurring words, enabling identification of most used terms and the relationships between them (Van Raan, 2019 ; Waltman et al., 2010 ).

To display the dominant terms, full counting method has been considered (Leydesdorff & Park, 2016 ). Thus, each publication has the overall weight equal to Ni (Ni being the total number of terms in the “i”-publication) and each term has a weight of 1. The size of the circle and the label in the map is associated with the weight of a term. In general, the stronger the relationship between two terms, the closer they are located on the map. We have considered the “total link strength attribute”, which indicates the total strength of a term’s links with other terms (Gutiérrez-Salcedo et al., 2018 ). Whilst curved lines on the maps represent the links between terms, colours are used to indicate the cluster to which each term belongs.

Finally, the evolution of “social media” and other main terms used in abstracts were analysed and presented with the overlay visualization in Vosviewer (terms are coloured based on their year of publication). We used the viridis colour scheme obtained from Matplotlib, where by default, colours range from blue-green to yellow scheme.

For the second analytic component of the study, qualitative content analysis methods were applied to the 55 studies resulting from the second screening. The objectives were to gain an in-depth understanding of the theories/models employed in the studies and to identify the main research aims linked to the employed theories/models. Content analysis was based on a number of categories which were adapted from Manca and Ranieri ( 2013 ) and derived from analysis by author 1 and author 2. This process resulted in the following categories: (i) attitudes of social media as learning tool (studies which main aim was to investigate students’ or instructors’ attitudes towards the use of social media); (ii) social media as a supportive learning tool (studies that supported active collaborative learning, student engagement, effective communication, enhancing group task performance); (iii) efficacy of social media as learning tool (studies that focused on the impact of social media on different aspects of teaching and learning, such as: community building and informal learning). For the purpose of ensuring a level of reliability, an iterative process of analysis was carried by author 1 and author 2, and the individually derived codes were double-checked by comparing results. Once the set of codes had been recognised, dataset coding reliability was calculated (Cohen’s k = 0.85). The disagreement was resolved with discussion and subsequent consensus.

5.1 Study characteristics

Figure  2 provides the time evolution of the annual scientific production for the period analysed. The number of publications shows an upward trend until 2018, with two relatively higher values in 2015 and 2018. A slight decline is observed from 2019 onwards. The sharp drop during 2021 is due to the fact that the study covered the period between January and June of that year. We have applied a segmented linear regression (Liu et al., 1997 ), with two break points, in 2015 and 2018 (Liu & Qian, 2009 ). The segmented least squares forecast for the year 2021, provides an estimated annual value of 74 publications with a high reliability (R 2  = 0.94).

Number of papers on social media as a teaching and learning tool (2009–2021). *estimated value in 2021

Table 2 shows the number of publications by journal (conferences proceedings were not included). This represents the distribution of the journals with a production of seven or more records involving 91 publications (11.7% of the corpus). It was found that Computers & Education and Education and Information Technologies have published the most articles on social media as a teaching and learning tool, with a total of 18 articles each. The Australasian Journal of Educational Technology , Computers in Human Behaviour , and Internet and Higher Education had 13, 12, and 9 related articles, respectively.

The scholars who published the most articles are presented in Table 3 . Overall, the data set containing the 772 articles comprises a total of 2,754 authors. For the purpose of this particular set of analyses, details about professional profile and number of publications are focused on journals only. The average number of co-authors was 3.56. Therefore, authors with more than four relevant published articles were considered core authors in the aforementioned field. The list is a combination of nine leading and emerging scholars from wide geographical areas. As shown, three scholars are from universities in Malaysia, three from Romania, one from Hong Kong, one from Italy, and one from South Africa. The disciplinary areas of the core authors represent a variety of disciplines, with many of these related to the education and technological fields.

5.2 Dominant terms and research trends

The final part of the bibliometric analysed the most frequently represented words in abstracts to identify most used terms and research trends (Han & Ellis, 2019 ; Leung et al., 2017 ). Firstly, the empty words (e.g., connectors, conjunctions, prepositions, articles, adjectives) were omitted. Secondly, words whose frequency was less than 20 occurrences in abstracts were considered not relevant to the research and were excluded. Synonyms and acronyms were associated. Finally, 305 terms with the largest levels of occurrence in the abstracts were included in the analysis from a total of 22,079 words. The analysis of these terms is illustrated in Fig.  3 and Fig.  4 by means of five clusters, each represented by a different colour. The distribution of the number of keywords by year of publication is presented in Fig.  4 .

Most used words found in abstracts

Evolution over time of terms in abstracts

The word student was the most commonly used word in the abstracts ( n  = 2,156), followed by social media ( n  = 1,077), use ( n  = 1,043), Facebook ( n  = 858), and learning ( n  = 667) (see Table 6 in Appendix A for terms with more than 120 occurrences). These results indicate that the articles mostly focused on Facebook use as a social media for learning. Furthermore, the platforms that attracted the greatest attention were Facebook ( n  = 858) and Twitter ( n  = 274). Figure  3 shows the most used word in abstract. As can be seen, the high impact term “student” presents strong connections with use, social media, learning, technology, tool, social network, group, Facebook, and Twitter. Five clusters of terms were discovered as part of the visualization. Each cluster was constituted from a set of terms that are clearly delimited by their location in the map. These clusters reveal the presence of five thematic strands in the literature that focus on: (i) “student-education-platform-process-communication” (colour red); (ii) “Facebook-Twitter-participation-interaction” (green); (iii) “Learning-Use-Technology” (blue); (iv) “social media-university-social media use-social media platform-educational use” (yellow); and (v) “academic attitude-performance-intention-usefulness-satisfaction” (purple).

When the distribution of these words is shown on a year-by-year basis (Fig.  4 ), it is revealed that studies focused on the study of Facebook page, Facebook use, informal learning, and peripheral terms such as blog, community, video, or web, is located in the initial years under study. High impact terms such as Facebook, student, learning, use, education, or social network are published on average in studies between 2014 and 2016. The term “social media” is introduced from 2016, in papers between 2017–2018, linking it to terms such as “data”, “educational use”, and “educational tool”. From 2018 onwards, the focus of the studies is towards “attitudes”, “influence”, “intention”, “performance”, or “satisfaction”.

Four research trends are identifiable throughout the period of study (Table 4 ). From 2010–2014, studies were mainly focused on Facebook as a community of practice, blog, and for informal learning. From 2014–2016, Facebook was still relevant, but studies had more emphasis on the educational learning process of the use of Facebook by students. During the period of 2016–2018, the term “social media” peaked and studies were focused on social media for education and as an educational tool. From 2018 onwards, the focus of the studies was towards “attitudes”, “influence”, “intention”, “performance”, or “satisfaction”.

5.3 Theoretical frameworks/models

The findings show that only 55 studies out of 772 cited a theoretical framework or model, this is only 7% of total number of studies. Content analysis was used to analyse more in-depth information about the 55 selected papers. A total of 16 frameworks/models were identified. They were grouped into six categories of similarity. These are shown in Table 5 in relation to the number of citing studies per category. The number of citing studies is higher than the sample size ( n  = 55) because there are some studies that uses more than one framework/model. The most cited theoretical framework/model was technology acceptance models which were cited in 41 studies. This is followed by learning theories cited in 11 studies. Social capital theory/innovation diffusion theory is cited in 5 studies; uses and gratification theory/social gratification theory cited in 3 studies; lastly, Information systems success model/communication theory and theory of reasoned action/theory of planned behaviour are only cited in 2 studies, respectively.

Figure  5 shows the use of the main framework(s)/model(s) categories from 2013 to 2021. Figure  5 highlights that studies began citing theory in 2013, with further significant increases identifiable in 2017 and 2020. It also indicates that technology acceptance theories are predominantly the most employed theories in all years, 2020 having the highest publications.

Theoretical frameworks/models over time

The 55 studies were further analysed by study aims which were categorised using the following classification: (1) attitudes of social media as learning tool ( n  = 32); (2) social media as a supportive learning tool ( n  = 16); (3) efficacy of social media as learning tool ( n  = 7). The study aims over time are revealed in Fig.  6 . The results indicate that publications with the aim of investigating attitudes of social media as a learning tool are the most common with 2017 being the most popular year of publication.

Research aims over time

Finally, to represent the empirical relationships among the aims and the theoretical frameworks/models, a word co-occurrence analysis providing a similarity matrix was carried out (Hu et al., 2013 ). A measure of similarity is obtained by counting the co-occurrences (Yang et al., 2012 ), which makes it possible to represent the relationships (conceptual clustering) that exist among the aims and frameworks/models (Chen et al., 2019 ). Direct lines represent connections between the theoretical frameworks/models. Figure  7 indicates that the strongest relationship is presented by studies with the aim to explore attitudes of social media as learning tool by integrating a technology acceptance model. This is followed by information and communication theories being used to explain the efficacy of social media as learning tool. Learning theories are mostly related to studies that are aimed at exploring social media as a supportive learning tool.

Research aims & theoretical frameworks/models network

6 Discussion

The current study has mapped the scientific literature regarding the use of social media in higher education teaching and learning (2009 to 2021). The central aim was to document research trends, dominant terms, and the main characteristics of studies, with a focus on providing a new perspective on the theoretical groundings that may explain the pedagogical integration of social media within higher education teaching and learning.

These results extend the findings of other systematic literature reviews regarding social media use in education-conducted on single or multiple platforms (Lopes et al., 2017 ; Manca, 2020 ; Tang & Hew, 2017 )-and across various disciplinary fields (Barrot, 2021a ; Rehm et al., 2019 ). The main finding indicates a shift from studies focused on Facebook, as the most researched social media platform and its use by students for informal learning, to a more recent trend from 2018 onwards showing studies still focused on attitudes, intentions, and satisfaction of social media as a teaching and learning tool. This is aligned with results from the content analysis which showed that only a minority of studies report the use of theory, and those that do report research aims based on the investigation of attitudes towards social media as a learning tool by integrating a technology acceptance model.

The following sections discuss the three research questions of this study in relation to results concerning both the use of social media as a teaching and learning tool and its pedagogical integration.

6.1 Characteristics of the scientific literature

Overall, the data show a constant growing trend in the number of publications concerned with social media use in teaching and learning, with an increase in two different years (2015 and 2018). This trend confirms a growing interest in the research community regarding the use of social media as a teaching and learning tool (Bodily et al., 2019 ; Valtonen et al., 2022 ). One of the reasons for the rapid growth of research in this field may be related to the relevance of social media platforms in students’ daily lives. We anticipate that further studies will be conducted as new social media uses and applications increases. For example, since its launch in 2017, TikTok has become the fastest growing social media platform worldwide, reaching nearly 83 million monthly active users as of February 2021 (Statista, 2021 ). From an educational perspective, TikTok has proven to be an effective pedagogical tool in corporal expression courses (Escamilla-Fajardo et al., 2021 ) and for political participation and civic engagement (Literat & Kligler-Vilenchik, 2021 ).

In terms of publication venues, Computers & Education , which is an international peer reviewed journal and one of the most prominent journals on the use of technology in education (Arici et al., 2019 ), has published the highest number of papers. The majority of the publications are also international, implying that educational research in social media is pedagogically used in local, regional, or international learning contexts (Barrot, 2021a ).

Geographically, results showed widespread interest across different countries, with more than half of the studies conducted outside of Europe. Whilst Barrot ( 2021a ) has reported that the US was by far the leading country in this field, Manca ( 2020 ) found that most of the research was from the Middle East.

6.2 Dominant terms and research trends

Based on the clusters of terms identified from the analysis of the most used words in abstracts, the platforms that attracted the greatest attention were Facebook and Twitter. In her review, Barrot ( 2021a ) also found that these platforms were the most popular, and suggested that Facebook and Twitter are more likely to be used for teaching and learning as they offer multiple affordances when compared to other less developed/newer platforms.

While the phenomenon of social media remains relatively new to academia research, it has grown in popularity throughout the analysed period. In the initial years, the literature showed evidence of research on the use of social media for informal learning (e.g., Forkosh-Baruch & Hershkovitz, 2012 ) through Facebook (e.g., Hew, 2011 ), and blogs (e.g., Zinger & Sinclair, 2013 ).

In our corpus of literature, the term “social media” starts to flourish from 2016. Many studies with a focus on the use of social media as an educational tool started to be published in that timeframe (e.g., Balakrishnan, 2017 ; Manca & Ranieri, 2016a , 2016b ; Sobaih et al., 2016 ). From 2018 to 2021, research trends were more focused on studies about attitudes and satisfaction, confirming trends from earlier studies on attitudes regarding Facebook (e.g., Manca & Ranieri, 2013 , 2016a , 2016b ). Manca and Ranieri ( 2016c ) argued that whilst there was a favourable attitude towards social media use for education, many academics would express a preference for using social media for personal and professional use, rather than for teaching and learning purposes.

6.3 Theoretical frameworks/models and study aims

The third research question examined the studies which had included a theoretical framework/model to explain the integration of social media in learning and teaching. The findings show that only 55 studies out of 772 cited a theoretical framework or model. This result demonstrates a general lack of theoretically based research. This concurs with the findings of Manca et al. ( 2021 ) who concluded that studies that do not integrate learning theory run the risk of superficial understanding of the pedagogical advantages of social media for learning and teaching.

Our findings show that 16 theoretical frameworks/models guided the 55 studies, with the technology acceptance models being the most frequently used. These theoretical frameworks/models were present in 41 studies. Thus, with the overwhelming presence of technology acceptance models, future research should endeavour to adopt other theoretical frameworks/models to verify the results obtained from TAM and its variants. For example, Al-Qaysi et al. ( 2020 ) argued that the development of a theoretical framework that can best examine the integration of social media for learning and teaching can be justified by the use of the uses and gratification theory (Katz, 1959 ) and the social constructivism theory (Wertsch, 1985 ). Furthermore, the use of social media for teaching and learning should be a pedagogical decision and not a technology one (Everson et al., 2013 ). Considering that educational technology research to date has aimed to understand the integration of, and factors affecting, technology use, mainly by employing theories from psychology and information systems, it was found in a recent study by Valtonen et al. ( 2022 ) that the largest amount of educational research targeted how technology can support learning processes based on different learning theories. This is in contrast with our findings which have shown that technology acceptance theories are the most studied frameworks/models in social media for teaching and learning. The reason for this contradiction is that Valtonen et al.’s ( 2022 ) review identified studies with an educational technology focus and not on social media specifically. Indeed, technology research’s history is long, rich and broad (Weller, 2020 ). However, this indicates that the use of socially oriented theories of learning and constructionist tradition within various technology-enhanced contexts and environments is the most common fit to understand technology integration.

Aligned with our findings is the work of Ngai et al. ( 2015 ) and of Chintalapati and Daruri ( 2017 ) who declared that the Technology Acceptance Model (TAM) is widely used in social media research to explain the acceptance of social media and to measure the factors that influence its adoption.

Our findings also show that the second most employed theoretical framework/models were those related to learning theories. In particular, social constructivism theory was the second most cited approach. These publications peaked from 2017, indicating that the use of learning theories is still in its infancy. Greenhow and Askari ( 2017 ), who assessed the state of social media research in education, found that the major gap in studies was concerned with the link to concrete measures of learning. This finding aligns with an earlier review study that noted increasing interest for social media use, but insufficient empirical support for claims that such technology can be an effective learning tool (Tess, 2013 ). Reflecting on these findings, Greenhow et al. ( 2019 ) suggested that research should focus on practices, outcomes, and learning across different contexts.

As social media is an emerging technology, it is important to continually understand attitudes towards it. Hence, it is not surprising that most of the studies in our analysis were designed to investigate the perceptions and attitudes of students and academics towards the use of social media as a learning and teaching tool. In theory, this is best explained by using an information systems theory such as the TAM (Ngai et al., 2015 ). However, this does not explain best practice when introducing social media as a learning and teaching tool. Many studies in the analysis which cited learning theories used TAM with social constructivism theory to examine collaborative learning and engagement through social media use (Alalwan et al., 2019 ; Alamri et al., 2020b ; Al-Rahmi, et al., 2018 ).

Since Technology acceptance theories are designed to examine teachers’ and students’ readiness to incorporate social media into teaching and learning practices, it is not surprising that they are aligned with attitudes towards social media as a teaching and learning tool. However, it appears that academic research has not much progressed in terms of providing better theoretical strength to pedagogical models and teaching practices.

The second most commonly found research aim in the studies was related to active collaborative learning, student engagement, effective communication and enhancing group performance. This research aim was supported by learning theories. For example, Yu et al. ( 2010 ) investigated student engagement on Facebook from a pedagogical standpoint based on social learning theory. Al-Rahmi et al. ( 2015 ) explored the factors that contribute to the enhancement of collaborative learning and engagement through social media based on the theory of social constructivist learning. This is in line with Churcher et al. ( 2014 ) study who argued that using social constructivist theory has the ability to develop a community of practice, and maximize learning potential.

Lastly, only 7 studies focused on the efficacy of social media as a learning tool which are supported by information and communication theories. For example, Chaka and Govender ( 2020 ) tested the implementation of mobile learning using Facebook as a medium of communication using a combination of the unified theory of acceptance and use of technology (UTAUT) model, Information Systems (IS) success model and the educational use of Facebook theory. Al-Rahmi et al. ( 2018 ) investigated the use of social media to encourage sharing knowledge, information, and discussion based on constructivism theory, technology acceptance model, and communication theory.

7 Conclusion and implications

The purpose of this study was twofold. First, we aimed to reveal research trends and most commonly used terms of social media for teaching and learning in higher education. The journals that published the most related papers, core scholars working on this field, and the countries in which the related research was based by employing a bibliometric analysis of the research. This analysis suggested that this research field is growing rapidly and evolving. This may be explained by the fact that social media have revolutionized the life of many people and thus attracting much attention.

Second, we employed content analysis to provide a new perspective on the theoretical groundings of the articles in the field. The results showed a lack of theoretical based research in this field, with some evidence of technology acceptance models and learning models as key theories that best explains the integration of social media as a teaching and learning tool.

Although the current study has provided useful insights regarding social media use in teaching and learning, some limitations need to be acknowledged. First, this study was not intended to report, discuss and analyse the findings of each study included in this review. Instead, it aimed to provide some numerical evidence that show the evolving research trends of social media for teaching and learning, as well as the frameworks/models studied and purpose of those focal studies. Second, this study analyses only the articles indexed in the WoS and ERIC database. Therefore, future studies could include articles from Scopus database, book chapters, book reviews, or other publications outside the chosen database. Thirdly, social media research is in its early stages, therefore new studies will continue to surface and continued proliferation of new social media technologies (Ngai et al., 2015 ). More recent social media in education research should be considered in future studies. Finally, future research could explore other research perspectives like research methods and contexts/disciplines.

This paper provides a new perspective on the theoretical groundings in the field of social media as a teaching and learning tool. Several implications can be drawn from this. Firstly, most studies are focused on investigating students and/or instructors’ attitudes towards the use of social media by integrating technology acceptance models. Future studies should focus on “best practice” for integrating social media into pedagogy, tied to student learning outcomes by integrating learning theories. Such studies may also help shape future research on social media integration in formal education, resulting potentially in solutions to educational problems rather than technological ones. Secondly, it was noted that studies employing technology acceptance models may be overwhelming the greater body of literate at present, and therefore any future research should look at post-acceptance studies, such as the impact of usage on learning and/or issues relating to it (such as privacy, security, and trust) (Manca & Ranieri, 2016b ). Finally, this study provided a review of the research landscape on the use of social media as a teaching and learning tool which can be used as a baseline in further advancing the field towards its full maturity.

As interest among scholars increases in using social media for teaching and learning, questions to consider for further research include the following: Can social media that are designed commercial purposes support learners in an educational environment? What does the adoption of social media mean from a theoretical perspective? In this regard, future work should address the pedagogical practices which are suitable for use with social media based on sound theoretical groundings.

Data availability

The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.

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Perez, E., Manca, S., Fernández-Pascual, R. et al. A systematic review of social media as a teaching and learning tool in higher education: A theoretical grounding perspective. Educ Inf Technol 28 , 11921–11950 (2023). https://doi.org/10.1007/s10639-023-11647-2

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Exploring the role of social media in collaborative learning the new domain of learning

• Jamal Abdul Nasir Ansari 1 &
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This study is an attempt to examine the application and usefulness of social media and mobile devices in transferring the resources and interaction with academicians in higher education institutions across the boundary wall, a hitherto unexplained area of research. This empirical study is based on the survey of 360 students of a university in eastern India, cognising students’ perception on social media and mobile devices through collaborative learning, interactivity with peers, teachers and its significant impact on students’ academic performance. A latent variance-based structural equation model approach was followed for measurement and instrument validation. The study revealed that online social media used for collaborative learning had a significant impact on interactivity with peers, teachers and online knowledge sharing behaviour.

Additionally, interactivity with teachers, peers, and online knowledge sharing behaviour has seen a significant impact on students’ engagement which consequently has a significant impact on students’ academic performance. Grounded to this finding, it would be valuable to mention that use of online social media for collaborative learning facilitate students to be more creative, dynamic and research-oriented. It is purely a domain of knowledge.

Introduction

The explosion of Information and Communication Technology (ICT) has led to an increase in the volume and smoothness in transferring course contents, which further stimulates the appeasement of Digital Learning Communities (DLCs). The millennium and naughtiness age bracket were Information Technology (IT) centric on web space where individual and geopolitical disperse learners accomplished their e-learning goals. The Educause Center for Applied Research [ECAR] ( 2012 ) surveyed students in higher education mentioned that students are pouring the acceptance of mobile computing devices (cellphones, smartphones, and tablet) in Higher Education Institutions (HEIs), roughly 67% surveyed students accepted that mobile devices and social media play a vital role in their academic performance and career enhancement. Mobile devices and social media provide excellent educational e-learning opportunities to the students for academic collaboration, accessing in course contents, and tutors despite the physical boundary (Gikas & Grant, 2013 ). Electronic communication technologies accelerate the pace of their encroachment of every aspect of life, the educational institutions incessantly long decades to struggle in seeing the role of such devices in sharing the contents, usefulness and interactivity style. Adoption and application of mobile devices and social media can provide ample futuristic learning opportunities to the students in accessing course contents as well as interaction with peers and experts (Cavus & Ibrahim, 2008 , 2009 ; Kukulska-Hulme & Shield, 2008 ; Nihalani & Mayrath, 2010 ; Richardson & Lenarcic, 2008 , Shih, 2007 ). Recently Pew Research Center reported that 55% American teenage age bracket of 15–17 years using online social networking sites, i.e. Myspace and Facebook (Reuben, 2008 ). Social media, the fast triggering the mean of virtual communication, internet-based technologies changed the life pattern of young youth.

Use of social media and mobile devices presents both advantages as well as challenges, mostly its benefits seen in terms of accessing course contents, video clip, transfer of the instructional notes etc. Overall students feel that social media and mobile devices are the cheap and convenient tools of obtaining relevant information. Studies in western countries have confronted that online social media use for collaborative learning has a significant contribution to students’ academic performance and satisfaction (Zhu, 2012 ). The purpose of this research project was to explore how learning and teaching activities in higher education institutions were affected by the integration and application of mobile devices in sharing the resource materials, interaction with colleagues and students’ academic performance. The broad goal of this research was to contemporise the in-depth perspectives of students’ perception of mobile devices and social media in learning and teaching activities. However, this research paper paid attention to only students’ experiences, and their understanding of mobile devices and social media fetched changes and its competency in academic performance. The fundamental research question of this research was, what are the opinions of students on social media and mobile devices when it is integrating into higher education for accessing, interacting with peers.

A researcher of the University of Central Florida reported that electronic devices and social media create an opportunity to the students for collaborative learning and also allowed the students in sharing the resource materials to the colleagues (Gikas & Grant, 2013 ). The result of the eight Egyptian universities confirmed that social media have the significant impact on higher education institutions especially in term of learning tools and teaching aids, faculty members’ use of social media seen at a minimum level due to several barriers (internet accessibility, mobile devices etc.).

Social media and mobile devices allow the students to create, edit and share the course contents in textual, video or audio forms. These technological innovations give birth to a new kind of learning cultures, learning based on the principles of collective exploration and interaction (Selwyn, 2012 ). Social media the phenomena originated in 2005 after the Web2.0 existence into the reality, defined more clearly as “a group of Internet-based applications that build on the ideological and technological foundation of web 2.0 and allow creation and exchange of user-generated contents (Kaplan & Haenlein, 2010 ). Mobile devices and social media provide opportunities to the students for accessing resources, materials, course contents, interaction with mentor and colleagues (Cavus & Ibrahim, 2008 , 2009 ; Richardson & Lenarcic, 2008 ).

Social media platform in academic institutions allows students to interact with their mentors, access their course contents, customisation and build students communities (Greenhow, 2011a , 2011b ). 90% school going students currently utilise the internet consistently, with more than 75% teenagers using online networking sites for e-learning (DeBell & Chapman, 2006 ; Lenhart, Arafeh, & Smith, 2008 ; Lenhart, Madden, & Hitlin, 2005 ). The result of the focus group interview of the students in 3 different universities in the United States confirmed that use of social media created opportunities to the learners for collaborative learning, creating and engaging the students in various extra curriculum activities (Gikas & Grant, 2013 ).

Research background and hypotheses

The technological innovation and increased use of the internet for e-learning by the students in higher education institutions has brought revolutionary changes in communication pattern. A report on 3000 college students in the United States revealed that 90% using Facebook while 37% using Twitter to share the resource materials as cited in (Elkaseh, Wong, & Fung, 2016 ). A study highlighted that the usage of social networking sites in educational institutions has a practical outcome on students’ learning outcomes (Jackson, 2011 ). The empirical investigation over 252 undergraduate students of business and management showed that time spent on twitter and involvement in managing social lives and sharing information, course-related influences their performance (Evans, 2014 ).

Social media for collaborative learning, interactivity with teachers, interactivity with peers

Many kinds of research confronted on the applicability of social media and mobile devices in higher education for interaction with colleagues.90% of faculty members use some social media in courses they were usually teaching or professional purposes out of the campus life. Facebook and YouTube are the most visited sites for the professional outcomes, around 2/3rd of the all-faculty use some medium fora class session, and 30% posted contents for students engagement in reading, view materials (Moran, Seaman, & Tinti-Kane, 2011 ). Use of social media and mobile devices in higher education is relatively new phenomena, completely hitherto area of research. Research on the students of faculty of Economics at University of Mortar, Bosnia, and Herzegovina reported that social media is already used for the sharing the materials and exchanges of information and students are ready for active use of social networking site (slide share etc.) for educational purposes mainly e-learning and communication (Mirela Mabić, 2014 ).

The report published by the U.S. higher education department stated that the majority of the faculty members engaged in different form of the social media for professional purposes, use of social media for teaching international business, sharing contents with the far way students, the use of social media and mobile devices for sharing and the interactive nature of online and mobile technologies build a better learning environment at international level. Responses on 308 graduate and postgraduate students in Saudi Arabia University exhibited that positive correlation between chatting, online discussion and file sharing and knowledge sharing, and entertainment and enjoyment with students learning (Eid & Al-Jabri, 2016 ). The quantitative study on 168 faculty members using partial least square (PLS-SEM) at Carnegie classified Doctoral Research University in the USA confirmed that perceived usefulness, external pressure and compatibility of task-technology have positive effect on social media use, the higher the degree of the perceived risk of social media, the less likely to use the technological tools for classroom instruction, the study further revealed that use of social media for collaborative learning has a positive effect on students learning outcome and satisfaction (Cao, Ajjan, & Hong, 2013 ). Therefore, the authors have hypothesized:

H1: Use of social media for collaborative learning is positively associated with interactivity with teachers.

Additionally, Madden and Zickuhr ( 2011 ) concluded that 83% of internet user within the age bracket of 18–29 years adopting social media for interaction with colleagues. Kabilan, Ahmad, and Abidin ( 2010 ) made an empirical investigation on 300 students at University Sains Malaysia and concluded that 74% students found to be the same view that social media infuses constructive attitude towards learning English (Fig. 1 ).

Research Model

Reuben ( 2008 ) concluded in his study on social media usage among professional institutions revealed that Facebook and YouTube used over half of 148 higher education institutions. Nevertheless, a recent survey of 456 accredited United States institutions highlighted 100% using some form of social media, notably Facebook 98% and Twitter 84% for e-learning purposes, interaction with mentors (Barnes & Lescault, 2011 ).

Information and communication technology (ICT), such as web-based application and social networking sites enhances the collaboration and construction of knowledge byway of instruction with outside experts (Zhu, 2012 ). A positive statistically significant relationship was found between student’s use of a variety of social media tools and the colleague’s fellow as well as the overall quality of experiences (Rutherford, 2010 ). The potential use of social media leads to collaborative learning environments which allow students to share education-related materials and contents (Fisher & Baird, 2006 ). The report of 233 students in the United States higher educations confirmed that more recluse students interact through social media, which assist them in collaborative learning and boosting their self-confidence (Voorn & Kommers, 2013 ). Thus hypotheses as

H2: Use of social media for collaborative learning is positively associated with interactivity with peers.

Social media for collaborative learning, interactivity with peers, online knowledge sharing behaviour and students’ engagement

Students’ engagement in social media and its types represent their physical and mental involvement and time spent boost to the enhancement of educational Excellency, time spent on interaction with peers, teachers for collaborative learning (Kuh, 2007 ). Students’ engagement enhanced when interacting with peers and teacher was in the same direction, shares of ideas (Chickering & Gamson, 1987 ). Engagement is an active state that is influenced by interaction or lack thereof (Leece, 2011 ). With the advancement in information technology, the virtual world becomes the storehouse of the information. Liccardi et al. ( 2007 ) concluded that 30% students were noted to be active on social media for interaction with their colleagues, tutors, and friends while more than 52% used some social media forms for video sharing, blogs, chatting, and wiki during their class time. E-learning becomes now sharp and powerful tools in information technology and makes a substantial impact on the student’s academic performance. Sharing your knowledge will make you better. Social network ties were shown to be the best predictors of online knowledge sharing intention, which in turn associated with knowledge sharing behaviour (Chen, Chen, & Kinshuk, 2009 ). Social media provides the robust personalised, interactive learning environment and enhances in self-motivation as cited in (Al-Mukhaini, Al-Qayoudhi, & Al-Badi, 2014 ). Therefore, it was hypothesised that:

H3: Use of social media for collaborative learning is positively associated with online knowledge sharing behaviour.

Broadly Speaking social media/sites allow the students to interact, share the contents with colleagues, also assisting in building connections with others (Cain, 2008 ). In the present era, the majority of the college-going students are seen to be frequent users of these sophisticated devices to keep them informed and updated about the external affair. Facebook reported per day 1,00,000 new members join; Facebook is the most preferred social networking sites among the students of the United States as cited in (Cain, 2008 ). The researcher of the school of engineering, Swiss Federal Institute of Technology Lausanne, Switzerland, designed and developed Grasp, a social media platform for their students’ collaborative learning, sharing contents (Bogdanov et al., 2012 ). The utility and its usefulness could be seen in the University of Geneva and Tongji University at both two educational places students were satisfied and accept ‘ Grasp’ to collect, organised and share the contents. Students use of social media will interact ubiquity, heterogeneous and engaged in large groups (Wankel, 2009 ). So we hypotheses

H4: More interaction with teachers leads to higher students’ engagement.

However, a similar report published on 233 students revealed that social media assisted in their collaborative learning and self-confidence as they prefer communication technology than face to face communication. Although, the students have the willingness to communicate via social media platform than face to face (Voorn & Kommers, 2013 ). The potential use of social media tools facilitates in achieving higher-level learning through collaboration with colleagues and other renewed experts in their field (Junco, Heiberger, & Loken, 2011 ; Meyer, 2010 ; Novak, Razzouk, & Johnson, 2012 ; Redecker, Ala-Mutka, & Punie, 2010 ). Academic self-efficacy and optimism were found to be strongly related to performance, adjustment and consequently both directly impacted on student’s academic performance (Chemers, Hu, & Garcia, 2001 ). Data of 723 Malaysian researchers confirmed that both male and female students were satisfied with the use of social media for collaborative learning and engagement was found positively affected with learning performance (Al-Rahmi, Alias, Othman, Marin, & Tur, 2018 ). Social media were seen as a powerful driver for learning activities in terms of frankness, interactivity, and friendliness.

Junco et al. ( 2011 ) conducted research on the specific purpose of the social media; how Twitter impacted students’ engagement, found that it was extent discussion out of class, their participation in panel group (Rodriguez, 2011 ). A comparative study conducted by (Roblyer, McDaniel, Webb, Herman, & Witty, 2010 ) revealed that students were more techno-oriented than faculty members and more likely using Facebook and such similar communication technology to support their class-related task. Additionally, faculty members were more likely to use traditional techniques, i.e. email. Thus hypotheses framed is that:

H5: More interaction with peers ultimately leads to better students’ engagement.

Social networking sites and social media are closely similar, which provide a platform where students can interact, communicate, and share emotional intelligence and looking for people with other attitudes (Gikas & Grant, 2013 ). Facebook and YouTube channel use also increased in the skills/ability and knowledge and outcomes (Daniel, Isaac, & Janet, 2017 ). It was highlighted that 90% of faculty members were using some sort of social media in their courses/ teaching. Facebook was the most visited social media sites as per study, 40% of faculty members requested students to read and views content posted on social media; majority reports that videos, wiki, etc. the primary source of acquiring knowledge, social networking sites valuable tool/source of collaborative learning (Moran et al., 2011 ). However, more interestingly, in a study which was carried out on 658 faculty members in the eight different state university of Turkey, concluded that nearly half of the faculty member has some social media accounts.

Further reported that adopting social media for educational purposes, the primary motivational factor which stimulates them to use was effective and quick means of communication technology (Akçayır, 2017 ). Thus hypotheses formulated is:

H6: Online knowledge sharing behaviour is positively associated with the students’ engagement.

Using multiple treatment research design, following act-react to increase students’ academic performance and productivity, it was observed when self–monitoring record sheet was placed before students and seen that students engagement and educational productivity was increased (Rock & Thead, 2007 ). Student engagement in extra curriculum activities promotes academic achievement (Skinner & Belmont, 1993 ), increases grade rate (Connell, Spencer, & Aber, 1994 ), triggering student performance and positive expectations about academic abilities (Skinner & Belmont, 1993 ). They are spending time on online social networking sites linked to students engagement, which works as the motivator of academic performance (Fan & Williams, 2010 ). Moreover, it was noted in a survey of over 236 Malaysian students that weak association found between the online game and student’s academic performance (Eow, Ali, Mahmud, & Baki, 2009 ). In a survey of 671 students in Jordan, it was revealed that student’s engagement directly influences academic performance, also seen the indirect effect of parental involvement over academic performance (Al-Alwan, 2014 ). Engaged students are perceptive and highly active in classroom activities, ready to participate in different classroom extra activities and expose motivation to learn, which finally leads in academic achievement (Reyes, Brackett, Rivers, White, & Salovey, 2012 ). A mediated role of students engagement seen in 1399 students’ classroom emotional climate and grades (Reyes et al., 2012 ). A statistically significant relation was noticed between online lecture and exam performance.

Nonetheless, intelligence quotient, personality factors, students must be engaged in learning activities as cited in (Bertheussen & Myrland, 2016 ). The report of the 1906 students at 7 universities in Colombia confirmed that the weak correlation between collaborative learning, students faculty interaction with academic performance (Pineda-Báez et al., 2014 ) Thus, the hypothesis

H7: Student's Engagement is positively associated with the student's academic performance.

Methodology

To check the students’ perception on social media for collaborative learning in higher education institutions, Data were gathered both offline and online survey administered to students from one public university in Eastern India (BBAU, Lucknow). For the sake of this study, indicators of interactivity with peers and teachers, the items of students engagement, the statement of social media for collaborative learning, and the elements of students’ academic performance were adopted from (AL-Rahmi & Othman, 2013 ). The statement of online knowledge sharing behaviour was taken from (Ma & Yuen, 2011 ).

The indicators of all variables which were mentioned above are measured on the standardised seven-point Likert scale with the anchor (1-Strongly Disagree, to 7-Strongly Agree). Interactivity with peers was measured using four indicators; the sample items using social media in class facilitates interaction with peers ; interactivity with teachers was measured using four symbols, the sample item is using social media in class allows me to discuss with the teacher. ; engagement was measured using three indicators by using social media I felt that my opinions had been taken into account in this class ; social media for collaborative learning was measured using four indicators collaborative learning experience in social media environment is better than in a face-to-face learning environment ; students’ academic performance was measured using five signs using social media to build a student-lecturer relationship with my lecturers, and this improves my academic performance ; online knowledge sharing behaviour was assessed using five symbols the counsel was received from other colleague using social media has increased our experience .

Procedure and measurement

A sample of 360 undergraduate students was collected by convenience sampling method of a public university in Eastern India. The proposed model of study was measured and evaluated using variance based structured equation model (SEM)-a latent multi variance technique which provides the concurrent estimation of structural and measurement model that does not meet parametric assumption (Coelho & Duarte, 2016 ; Haryono & Wardoyo, 2012 ; Lee, 2007 ; Moqbel, Nevo, & Kock, 2013 ; Raykov & Marcoulides, 2000 ; Williams, Rana, & Dwivedi, 2015 ). The confirmatory factor analysis (CFA) was conducted to ensure whether the widely accepted criterion of discriminate and convergent validity met or not. The loading of all the indicators should be 0.50 or more (Field, 2011 ; Hair, Anderson, Tatham, & Black, 1992 ). And it should be statistically significant at least at the 0.05.

Demographic analysis (Table 1 )

The majority of the students in this study were females (50.8%) while male students were only 49.2% with age 15–20 years (71.7%). It could be pointed out at this juncture that the majority of the students (53.9%) in BBAU were joined at least 1–5 academic pages for their getting information, awareness and knowledge. 46.1% of students spent 1–5 h per week on social networking sites for collaborative learning, interaction with teachers at an international level. The different academic pages followed for accessing material, communication with the faculty members stood at 44.4%, there would be various forms of the social networking sites (LinkedIn, Slide Share, YouTube Channel, Researchgate) which provide the facility of online collaborative learning, a platform at which both faculty members and students engaged in learning activities.

As per report (Nasir, Khatoon, & Bharadwaj, 2018 ), most of the social media user in India are college-going students, 33% girls followed by 27% boys students, and this reports also forecasted that India is going to become the highest 370.77 million internet users in 2022. Additionally, the majority of the faculty members use smartphone 44% to connect with the students for sharing material content. Technological advantages were the pivotal motivational force which stimulates faculty members and students to exploits the opportunities of resource materials (Nasir & Khan, 2018 ) (Fig. 2 ).

Reasons for Using Social Media

When the students were asked for what reason did they use social media, it was seen that rarely using for self-promotion, very frequently using for self-education, often used for passing the time with friends, and so many fruitful information the image mentioned above depicting.

Instrument validation

The structural model was applied to scrutinize the potency and statistically significant relationship among unobserved variables. The present measurement model was evaluated using Confirmatory Factor Analysis (CFA), and allied procedures to examine the relationship among hypothetical latent variables has acceptable reliability and validity. This study used both SPSS 20.0 and AMOS to check measurement and structural model (Field, 2013 ; Hair, Anderson, et al., 1992 ; Mooi & Sarstedt, 2011 ; Norusis, 2011 ).

The Confirmatory Factor Analysis (CFA) was conducted to ensure whether the widely accepted criterion of discriminant and convergent validity met or not. The loading of all the indicators should be 0.70 or more it should be statistically significant at least at the 0.05 (Field, 2011 ; Hair, Anderson, et al., 1992 ).

CR or CA-based tests measured the reliability of the proposed measurement model. The CA provides an estimate of the indicators intercorrelation (Henseler & Sarstedt, 2013 . The benchmark limits of the CA is 0.7 or more (Nunnally & Bernstein, 1994 ). As per Table 2 , all latent variables in this study above the recommended threshold limit. Although, Average Variance Extracted (AVE) has also been demonstrated which exceed the benchmark limit 0.5. Thus all the above-specified values revealed that our instrument is valid and effective. (See Table 2 for the additional information) (Table 3 ).

In a nutshell, the measurement model clear numerous stringent tests of convergent validity, discriminant validity, reliability, and absence of multi-collinearity. The finding demonstrated that our model meets widely accepted data validation criteria. (Schumacker & Lomax, 2010 ).

The model fit was evaluated through the Chi-Square/degree of freedom (CMIN/DF), Root Mean Residual (RMR), Root Mean Square Error of Approximation (RMSEA), Comparative Fit Index (CFI), and Goodness of fit index (GFI) and Tucker-Lewis Index (TLI). The benchmark limit of the CFI, TLI, and GFI 0.90or more (Hair et al., 2016 ; Kock, 2011 ). The model study demonstrated in the table, as mentioned above 4 that the minimum threshold limit was achieved (See Table 4 for additional diagnosis).

Path coefficient of several hypotheses has been demonstrated in Fig.  3 , which is a variable par relationship. β (beta) Coefficients, standardised partial regression coefficients signify the powers of the multivariate relationship among latent variables in the model. Remarkably, it was observed that seven out of the seven proposed hypotheses were accepted and 78% of the explained variance in students’ academic performance, 60% explained variance in interactivity with teachers, 48% variance in interactivity with peers, 43% variance in online knowledge sharing behaviour and 79% variance in students’ engagement. Social media collaborative learning has a significant association with teacher interactivity(β = .693, P  < 0.001), demonstrating that there is a direct effect on interaction with the teacher by social media when other variables are controlled. On the other hand, use of social media for collaborative learning has noticed statistically significant positive relationship with peers interactivity (β = .704, p  < 0.001) meaning thereby, collaborative learning on social media by university students, leads to the high degree of interaction with peers, colleagues. Implied 10% rise in social media use for learning purposes, expected 7.04% increase in interaction with peers.

Path Diagram

Use of social media for collaborating learning has a significant positive association with online knowledge sharing behaviour (β = .583, p  < 0.001), meaning thereby that the more intense use of social media for collaborative learning by university students, the more knowledge sharing between peers and colleagues. Also, interaction with the teacher seen the significant statistical positive association with students engagement (β = .450, p  < 0.001), telling that the more conversation with teachers, leads to a high level of students engagement. Similarly, the practical interpretation of this result is that there is an expected 4.5% increase in student’s participation for every 10% increase in interaction with teachers. Interaction with peers has a significant positive association with students engagement (β = .210, p  < 0.001). Practically, the finding revealed that 10% upturn in student’s involvement, there is a 2.1% increase in peer’s interaction. There is a significant positive association between online knowledge sharing behaviour and students engagement (β = 0.247, p  < 0.001), and finally students engagement has been a statistically significant positive relationship with students’ academic performance (β = .972, p  < 0.001), this is the clear indication that more engaged students in collaborative learning via social media leads to better students’ academic performance.

Discussion and implication

There is a continuing discussion in the academic literature that use of such social media and social networking sites would facilitate collaborative learning. It is human psychology generally that such communication media technology seems only for entertainment, but it should be noted here carefully that if such communication technology would be followed with due attention prove productive. It is essential to acknowledge that most university students nowadays adopting social media communication to interact with colleagues, teachers and also making the group be in touch with old friends and even a convenient source of transferring the resources. In the present era, the majority of the university students having diversified social media community groups like Whatsapp, Facebook pages following different academic web pages to upgrade their knowledge.

Practically for every 10% rise in students’ engagement, expected to be 2.1% increase in peer interaction. As the study suggested that students engage in different sites, they start discussing with colleagues. More engaged students in collaborative learning through social media lead better students’ academic performance. The present study revealed that for every 10% increase in student’s engagement, there would be an expected increase in student academic performance at a rate of 9.72. This extensive research finding revealed that the application of online social media would facilitate the students to become more creative, dynamics and connect to the worldwide instructor for collaborative learning.

Accordingly, the use of online social media for collaborative learning, interaction with mentors and colleagues leadbetter student’s engagement which consequently affects student’s academic performance. The higher education authority should provide such a platform which can nurture the student’s intellectual talents. Based on the empirical investigation, it would be said that students’ engagement, social media communication devices facilitate students to retrieve information and interact with others in real-time regarding sharing teaching materials contents. Additionally, such sophisticated communication devices would prove to be more useful to those students who feel too shy in front of peers; teachers may open up on the web for the collaborative learning and teaching in the global scenario and also beneficial for physically challenged students. It would also make sense that intensive use of such sophisticated technology in teaching pedagogical in higher education further facilitates the teachers and students to interact digitally, web-based learning, creating discussion group, etc. The result of this investigation confirmed that use of social media for collaborative learning purposes, interaction with peers, and teacher affect their academic performance positively, meaning at this moment that implementation of such sophisticated communication technology would bring revolutionary, drastic changes in higher education for international collaborative learning (Table 5 ).

Limitations and future direction

Like all the studies, this study is also not exempted from the pitfalls, lacunas, and drawbacks. The first and foremost research limitation is it ignores the addiction of social media; excess use may lead to destruction, deviation from the focal point. The study only confined to only one academic institution. Hence, the finding of the project cannot be generalised as a whole. The significant positive results were found in this study due to the fact that the social media and mobile devices are frequently used by the university going students not only as a means of gratification but also for educational purposes.

Secondly, this study was conducted on university students, ignoring the faculty members, it might be possible that the faculty members would not have been interested in interacting with the students. Thus, future research could be possible towards faculty members in different higher education institutions. To the authors’ best reliance, this is the first and prime study to check the usefulness and applicability of social media in the higher education system in the Indian context.

Concluding observations

Based on the empirical investigation, it could be noted that application and usefulness of the social media in transferring the resource materials, collaborative learning and interaction with the colleagues as well as teachers would facilitate students to be more enthusiastic and dynamic. This study provides guidelines to the corporate world in formulating strategies regarding the use of social media for collaborative learning.

Availability of data and materials

The corresponding author declared here all types of data used in this study available for any clarification. The author of this manuscript ready for any justification regarding the data set. To make publically available of the data used in this study, the seeker must mail to the mentioned email address. The profile of the respondents was completely confidential.

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Ansari, J.A.N., Khan, N.A. Exploring the role of social media in collaborative learning the new domain of learning. Smart Learn. Environ. 7 , 9 (2020). https://doi.org/10.1186/s40561-020-00118-7

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Editorial: The roles of social media in education: affective, behavioral, and cognitive dimensions

Hung phu bui.

1 University of Economics, Ho Chi Minh, Vietnam

Mark Bedoya Ulla

2 Walailak University, Tha Sala District, Thailand

Veronico N. Tarrayo

3 University of Santo Tomas, Manila, Philippines

Chien Thang Pham

4 TNU-University of Sciences, Thái Nguyên, Vietnam

The interface between education and technology has become both inevitable and significant in today's digitally connected world. As a result, the current educational landscape is shifting toward using digital technologies for teaching and learning (Rautela, 2022 ). In higher education, for instance, an increasing number of teachers and students use social media for personal and educational purposes (Sabah, 2023 ). Education is undergoing tremendous modifications across academic disciplines, owing mainly to the integration of social media and web-based platforms (Chau and Bui, 2023 ). Within this context, educators are pushing boundaries, developing creative approaches, and analyzing outcomes across various teaching and learning situations, from Tencent Docs to Telegram and Instagram to Messenger. This Research Topic explores education in the age of social media, engaging in a discourse where traditional practices meet radical technological needs and trends. It looks deeply into technological shifts, analyzing the promises, successes, and issues that arise from integrating technology, particularly social media, into the ever-changing realm of education. The collected papers in this Research Topic provide a holistic understanding of current educational changes by covering affective, behavioral, and cognitive dimensions (Bui, 2023 ) and spanning areas such as writing, speaking, and grammar learning, as well as pertinent discussions on physical education, research, professional development, and assessment. Through the eyes of scholars, we examine a range of studies, from experimental interventions and empirical studies to insightful reviews, all with the goal of understanding how the digital age is transforming pedagogical approaches and student experiences.

As educators recognize the pervasiveness of social media in students' lives, research into its integration into English language teaching (ELT) has become critical to identify best practices and evaluate the effectiveness of social media use in supporting language learning. To exemplify, the growing research interest in incorporating social media into ELT highlights its potential to improve writing skills as educators use digital platforms to facilitate authentic writing experiences and immediate peer feedback for learners, as well as increase writing motivation. This Research Topic includes Y. Li's research that examined the impact of online collaborative writing instruction on Chinese English as a foreign language (EFL) students using Tencent Docs, focusing on writing performance, writing self-efficacy, and writing motivation. Out of 58 participants, half used Tencent Docs for tasks outside the classroom (experimental group), while the other half followed traditional in-class instruction (control). Over 13 weeks, the group using Tencent Docs exhibited significantly improved writing performance, motivation, and self-efficacy compared to the control group. In a related research, Zhao and Yang explored the effects of a flipped course on Chinese EFL students' writing performance and anxiety levels using a quasi-experimental approach. Fifty students from two classes were divided into two groups: a traditional instruction group (control) and a flipped instruction group using social media (experimental). Two writing assignments and a writing anxiety scale were used to collect data. The results showed that the experimental group improved significantly at writing and reported less anxiety. Another experimental intervention was conducted in the study of Dai et al. , which investigated the impact of wiki-based writing methods on Chinese EFL students' writing skills and self-efficacy. Fifty-three students from a language school in China participated and were divided into two groups: one using the wiki method (experimental) and the other using traditional teaching (control) over three months. Both groups were tested before and after the study using IELTS writing tasks and a writing self-efficacy scale. While both groups showed improvement, those taught using the wiki-based method had more significant gains in writing skills and confidence.

Similarly, scholarly interest in using social media to improve English speaking skills is growing, as its capacity to provide learners with real-world conversational experiences and increased confidence is recognized. Zhou's research explored how online language exchanges affect Chinese postgraduate students' speaking abilities and willingness to communicate (WTC) in an advanced English program. Two groups were compared: one using the Tandem app to converse with foreign English speakers (e-tandem), and the other having collaborative speaking tasks in class (conventional). Fifty-eight students were split between these groups. Data from IELTS speaking tests, a WTC scale, and semi-structured interviews showed that both groups improved their speaking skills. Yet, the e-tandem group excelled more than the conventional group. In a review, Fan delved into how digital-based flipped classrooms influence EFL learners' WTC and self-efficacy. The literature review revealed that social media and digital content can impact students' communication intentions in these classrooms. EFL learners in flipped classrooms demonstrated greater self-efficacy than in traditional settings. The analysis likewise provides insights for EFL educators, educational policymakers, and advisors on enhancing learner self-efficacy, WTC, and the benefits of the flipped learning approach.

Other relevant areas in language education, such as grammar learning, foreign language learning motivation, and the use of the flipped learning approach, were likewise covered in this issue. Teng et al. analyzed the effects of Instagram-feed-based tasks on EFL students' grammar learning. Eighty-four intermediate EFL students were divided into two groups: one received typical online lessons (control), and the other used Instagram-feed-based tasks (experimental). The results, analyzed using one-way ANCOVA, showed that the experimental group learned grammar more effectively than the control group. The findings emphasize the potential of Instagram-feed-based tasks in enhancing grammar learning, and students expressed favorable views toward this method. On the other hand, Zhao et al. investigated the effect of Telegram on foreign language motivation, foreign language anxiety, and learning attitudes of 60 intermediate Iranian EFL students. These students were divided into two groups: one used the Telegram app (experimental), while the other learned traditionally without using social media (control). After 18 sessions, tests revealed that the experimental group had higher motivation, reduced foreign language anxiety, and a positive view of the app's role in their English learning.

In a conceptual review, Pang examined how a web-based flipped learning approach impacts learner engagement and critical thinking. Previous research highlighted the role of social media in fostering these skills and promoting collaborative learning and high-quality interactions, thus boosting student engagement. Furthermore, these platforms offer feedback and complex tasks, honing EFL learners' critical thinking. A corollary to this, Han's review analyzed the flipped classroom approach in language education, particularly its advantages and challenges when integrated with social media. The approach revolves around students accessing lecture content before class, using popular social media platforms for interactive learning. An analysis of 25 journal articles revealed that the flipped approach enhances learning outcomes, including motivation, attitude, course satisfaction, and self-efficacy in higher education. However, a significant challenge is students' unfamiliarity and difficulty adapting to this model. Focusing on an affective dimension in EFL learning, B. Li explored the potential of social networking to boost commitment and dedication in EFL students, providing valuable insights for language educators. By integrating social networking into educational platforms beyond the classroom, the conventional teaching approach is transformed. Social networking, a subset of social media, enables students to interact with peers through online and mobile platforms. This technology fosters a learning environment based on interactive dialog between students.

A few studies and conceptual reviews likewise have delved into the influence and use of social media in other facets of education, such as physical education, research, professional development, and assessment. Wang et al.'s review synthesized previous findings to discuss social media's role in student engagement both in in-class and online sessions. It likewise explored social media's impact on engagement, delved into engagement types, and examined the correlation between social media use and student engagement. In a related review, Chen and Xiao evaluated research on the impact of extensive social media use on students' emotional wellbeing. While positive and negative effects were noted, the latter, including symptoms such as depression, anxiety, and stress, were more prominent. The social comparison theory suggests that several issues stem from students comparing their lives to the unrealistic portrayal of others on social media. Thus, educators, policymakers, and school authorities may be informed about the potential psychological repercussions of pervasive social media use among students.

Moreover, Xu et al.'s work aimed to develop and validate the Social Media Perception Scale for future Physical Education teachers (SMPS-PPE). Data was gathered from 977 preservice physical education teachers using a survey. The data underwent item analysis, exploratory factor analysis, and confirmatory factor analysis. The results indicated that SMPS-PPE is reliable in terms of content validity, internal structure validity, and internal consistency, and valid in evaluating the social media perceptions of these preservice teachers. Lu et al. , on the other hand, looked into how novice EFL teachers in the Czech Republic view the use of social media tools, such as Web 2.0, and their willingness to employ them for collaboration in diverse classroom settings. One hundred teachers from various parts of the country participated in a survey and follow-up semi-structured interviews. The results showed that the teachers most open to integrating social Web 2.0 technologies had the most pronounced positive and negative views on them. The level of technology expertise, workload, and work environment influenced these views.

In the area of research, Alonzo and Oo employed autoethnography to analyze their three-year experience using Messenger for collaborative research, discussing the benefits and challenges of utilizing social media for academic collaboration. They showcased how a particular social media tool aided in enhancing their research output and obtaining a grant. The activity theory was used to discuss how various factors (i.e., personal, socio-emotional, structural, technological, and organizational) played a role in the success of their scholarly pursuits. On the other hand, Ping , in a review, explored the influence of teachers' commitment and identity on their use of social media in professional development (PD) for EFL instruction. Social media enhances teachers' dedication and professional identity (PI). Such PD helps teachers envision and shape a new identity through social media interactions. Since identity is fluid, participating in social media communities helps educators collaborate and connect, fostering their PD and professional success.

Lastly, in the area of assessment, Alonzo et al. utilized PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses) to analyze 167 articles on the use of social media in educational assessments, finding only 17 relevant for detailed review. It revealed that Facebook and Twitter were the main platforms for assessment activities, including task sharing, monitoring progress, and offering feedback. The benefits included timely feedback and enhanced student performance. However, concerns emerged about assessment reliability, the constraints of social media tools, and balancing academic with social engagement.

The use of social media and digital platforms in education is no longer a budding trend; it is an essential component of modern pedagogy when harnessed with purpose and prudence. The scholarly works included in this Research Topic show both the transformative power of this integration and its potential challenges. While several educators and students have experienced significant improvements in areas such as writing, speaking, and learning motivation, there are evident concerns, such as the potential psychological consequences of excessive social media use. As the educational world merges with digital technology, educators, policymakers, and stakeholders should create a balanced approach to ensure that the benefits of technology are realized without compromising learners' holistic wellbeing.

Author contributions

HB: Conceptualization, Writing—review and editing. MU: Conceptualization, Writing—review and editing. VT: Conceptualization, Writing—review and editing. CP: Conceptualization, Writing—review and editing.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

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Government of Canada supports leading research infrastructure across Canada

From: Employment and Social Development Canada

News release

Funding will advance the next generation of cutting-edge Canadian research and innovation infrastructure

Funding will advance the next generation of cutting-edge Canadian research and innovation infrastructure May 31, 2024                Ottawa, Ontario              Employment and Social Development Canada Modern, high-quality research facilities and equipment are essential for breakthroughs in Canadian research and science. These laboratories and research centres are where medical and other scientific breakthroughs are born, helping to solve real-world problems and create the economic opportunities of the future. Today, the Honourable Jenna Sudds, Minister of Families, Children and Social Development on behalf of the Honourable François-Philippe Champagne, Minister of Innovation, Science and Industry, and the Honourable Steven MacKinnon, Member of Parliament for Gatineau, highlighted $176 million over five years, through Budget 2024 , to support CANARIE, a national not-for-profit organization that connects Canada's researchers, educators, and innovators, to each other and to scientific data and instruments through an ultra high-speed network. CANARIE is also the Canadian operator for eduroam, the secure, global Wi-Fi network for students and researchers. With network speeds hundreds of times faster than conventional home and office networks, this investment will ensure this critical infrastructure can securely connect researchers across Canada's world-leading post-secondary institutions. CANARIE and its 13 provincial and territorial partners form Canada’s National Research and Education Network (NREN). The NREN connects Canada’s researchers, educators, and innovators to each other and to global data and technology. CANARIE collaborates with partners in the NREN, government, academia, and the private sector to strengthen cybersecurity at over 220 Canadian post-secondary institutions and research facilities. Canada’s world-class research facilities play a critical role in finding solutions to major challenges and advancing a resilient and sustainable future. Investments in infrastructure drive innovation and help attract and train the next generation of scientific talent, creating a better future for all Canadians and people around the world.

“Canadian research has helped improve our society, economy and healthcare, time and time again. These strategic investments underscore the government dedication to fostering innovation, addressing global challenges, and nurturing the next generation of scientific leaders. Through enhancing cutting-edge facilities and equipment, these initiatives will propel Canadian research to new heights of excellence." – The Honourable François-Philippe Champagne, Minister of Innovation, Science and Industry

“CANARIE plays a crucial role in advancing Canada's digital economy by providing high-speed networks, data management tools, and cybersecurity solutions for research institutions across the country. This funding underscores our government’s commitment to fostering innovation and ensuring that Canadian researchers have the world-class tools and resources they need to drive groundbreaking discoveries and bolster our nation's competitiveness on the global stage. Together, we’re creating opportunities, boosting innovation, and accelerating economic growth for generations to come.” – The Honourable Jenna Sudds, Minister of Families, Children and Social Development

“Advancing the next generation of cutting-edge Canadian research and innovation infrastructure is essential to find solutions to major challenges and to advance an innovative and sustainable future. Investments like this one demonstrate our government's ongoing commitment to supporting Canada's science and research ecosystem.” – The Honourable Steven MacKinnon, Leader of the Government in the House of Commons and Member of Parliament for Gatineau

“Congratulations to CANARIE on the renewal of their five-year mandate with our government, allowing them to continue their cutting-edge support of Canadian researchers, educators and innovators. Since 1993, CANARIE has grown to be a global leader, creating a powerful digital platform connecting our world class researchers and educational institutions to one another and the world. Our renewed investment in CANARIE over the next five years will further enhance scientific collaboration and accelerate Canadian innovation, opening new frontiers leading to Canadian economic growth and the well-being of our people.” – Yasir Naqvi, Member of Parliament for Ottawa Centre

Quick facts

Since 2016, the government has provided more than $16 billion to support science and research.

This new investment builds on existing federal research support:

• The Strategic Science Fund, which announced the results of its first competition in December 2023, providing $800 million to support 24 third-party science and research organizations starting in 2024-25;
• Canada recently concluded negotiations to be an associate member of Horizon Europe, which will enable Canadians to access a broader range of research opportunities under the European program starting this year;
• In addition, Budget 2024 provides $825 million to increase support for master’s, doctoral and post-doctoral students, as well as $1.8 billion to the federal granting councils to increase core research grant funding and support Canadian researchers.
• The steady increase in federal funding for extramural and intramural science and technology by the government which was 44 per cent higher in 2023 relative to 2015.

Associated links

• Budget 2024

Geneviève Lemaire Press Secretary Office of Minister of Families, Children and Social Development [email protected] Media Relations Office Employment and Social Development Canada 819-994-5559 [email protected] Audrey Milette Press Secretary Office of the Minister of Innovation, Science and Industry [email protected] Media Relations Innovation, Science and Economic Development Canada [email protected] Stay connected Follow @CDNScience on social media for Canadian science news:  Twitter ,  Instagram ,  Facebook

Page details

CONCEPTUAL ANALYSIS article

The effect of social media on the development of students’ affective variables.

• 1 Science and Technology Department, Nanjing University of Posts and Telecommunications, Nanjing, China
• 2 School of Marxism, Hohai University, Nanjing, Jiangsu, China
• 3 Government Enterprise Customer Center, China Mobile Group Jiangsu Co., Ltd., Nanjing, China

The use of social media is incomparably on the rise among students, influenced by the globalized forms of communication and the post-pandemic rush to use multiple social media platforms for education in different fields of study. Though social media has created tremendous chances for sharing ideas and emotions, the kind of social support it provides might fail to meet students’ emotional needs, or the alleged positive effects might be short-lasting. In recent years, several studies have been conducted to explore the potential effects of social media on students’ affective traits, such as stress, anxiety, depression, and so on. The present paper reviews the findings of the exemplary published works of research to shed light on the positive and negative potential effects of the massive use of social media on students’ emotional well-being. This review can be insightful for teachers who tend to take the potential psychological effects of social media for granted. They may want to know more about the actual effects of the over-reliance on and the excessive (and actually obsessive) use of social media on students’ developing certain images of self and certain emotions which are not necessarily positive. There will be implications for pre- and in-service teacher training and professional development programs and all those involved in student affairs.

Introduction

Social media has turned into an essential element of individuals’ lives including students in today’s world of communication. Its use is growing significantly more than ever before especially in the post-pandemic era, marked by a great revolution happening to the educational systems. Recent investigations of using social media show that approximately 3 billion individuals worldwide are now communicating via social media ( Iwamoto and Chun, 2020 ). This growing population of social media users is spending more and more time on social network groupings, as facts and figures show that individuals spend 2 h a day, on average, on a variety of social media applications, exchanging pictures and messages, updating status, tweeting, favoring, and commenting on many updated socially shared information ( Abbott, 2017 ).

Researchers have begun to investigate the psychological effects of using social media on students’ lives. Chukwuere and Chukwuere (2017) maintained that social media platforms can be considered the most important source of changing individuals’ mood, because when someone is passively using a social media platform seemingly with no special purpose, s/he can finally feel that his/her mood has changed as a function of the nature of content overviewed. Therefore, positive and negative moods can easily be transferred among the population using social media networks ( Chukwuere and Chukwuere, 2017 ). This may become increasingly important as students are seen to be using social media platforms more than before and social networking is becoming an integral aspect of their lives. As described by Iwamoto and Chun (2020) , when students are affected by social media posts, especially due to the increasing reliance on social media use in life, they may be encouraged to begin comparing themselves to others or develop great unrealistic expectations of themselves or others, which can have several affective consequences.

Considering the increasing influence of social media on education, the present paper aims to focus on the affective variables such as depression, stress, and anxiety, and how social media can possibly increase or decrease these emotions in student life. The exemplary works of research on this topic in recent years will be reviewed here, hoping to shed light on the positive and negative effects of these ever-growing influential platforms on the psychology of students.

Significance of the study

Though social media, as the name suggests, is expected to keep people connected, probably this social connection is only superficial, and not adequately deep and meaningful to help individuals feel emotionally attached to others. The psychological effects of social media on student life need to be studied in more depth to see whether social media really acts as a social support for students and whether students can use social media to cope with negative emotions and develop positive feelings or not. In other words, knowledge of the potential effects of the growing use of social media on students’ emotional well-being can bridge the gap between the alleged promises of social media and what it actually has to offer to students in terms of self-concept, self-respect, social role, and coping strategies (for stress, anxiety, etc.).

Exemplary general literature on psychological effects of social media

Before getting down to the effects of social media on students’ emotional well-being, some exemplary works of research in recent years on the topic among general populations are reviewed. For one, Aalbers et al. (2018) reported that individuals who spent more time passively working with social media suffered from more intense levels of hopelessness, loneliness, depression, and perceived inferiority. For another, Tang et al. (2013) observed that the procedures of sharing information, commenting, showing likes and dislikes, posting messages, and doing other common activities on social media are correlated with higher stress. Similarly, Ley et al. (2014) described that people who spend 2 h, on average, on social media applications will face many tragic news, posts, and stories which can raise the total intensity of their stress. This stress-provoking effect of social media has been also pinpointed by Weng and Menczer (2015) , who contended that social media becomes a main source of stress because people often share all kinds of posts, comments, and stories ranging from politics and economics, to personal and social affairs. According to Iwamoto and Chun (2020) , anxiety and depression are the negative emotions that an individual may develop when some source of stress is present. In other words, when social media sources become stress-inducing, there are high chances that anxiety and depression also develop.

Charoensukmongkol (2018) reckoned that the mental health and well-being of the global population can be at a great risk through the uncontrolled massive use of social media. These researchers also showed that social media sources can exert negative affective impacts on teenagers, as they can induce more envy and social comparison. According to Fleck and Johnson-Migalski (2015) , though social media, at first, plays the role of a stress-coping strategy, when individuals continue to see stressful conditions (probably experienced and shared by others in media), they begin to develop stress through the passage of time. Chukwuere and Chukwuere (2017) maintained that social media platforms continue to be the major source of changing mood among general populations. For example, someone might be passively using a social media sphere, and s/he may finally find him/herself with a changed mood depending on the nature of the content faced. Then, this good or bad mood is easily shared with others in a flash through the social media. Finally, as Alahmar (2016) described, social media exposes people especially the young generation to new exciting activities and events that may attract them and keep them engaged in different media contexts for hours just passing their time. It usually leads to reduced productivity, reduced academic achievement, and addiction to constant media use ( Alahmar, 2016 ).

The number of studies on the potential psychological effects of social media on people in general is higher than those selectively addressed here. For further insights into this issue, some other suggested works of research include Chang (2012) , Sriwilai and Charoensukmongkol (2016) , and Zareen et al. (2016) . Now, we move to the studies that more specifically explored the effects of social media on students’ affective states.

Review of the affective influences of social media on students

Vygotsky’s mediational theory (see Fernyhough, 2008 ) can be regarded as a main theoretical background for the support of social media on learners’ affective states. Based on this theory, social media can play the role of a mediational means between learners and the real environment. Learners’ understanding of this environment can be mediated by the image shaped via social media. This image can be either close to or different from the reality. In the case of the former, learners can develop their self-image and self-esteem. In the case of the latter, learners might develop unrealistic expectations of themselves by comparing themselves to others. As it will be reviewed below among the affective variables increased or decreased in students under the influence of the massive use of social media are anxiety, stress, depression, distress, rumination, and self-esteem. These effects have been explored more among school students in the age range of 13–18 than university students (above 18), but some studies were investigated among college students as well. Exemplary works of research on these affective variables are reviewed here.

In a cross-sectional study, O’Dea and Campbell (2011) explored the impact of online interactions of social networks on the psychological distress of adolescent students. These researchers found a negative correlation between the time spent on social networking and mental distress. Dumitrache et al. (2012) explored the relations between depression and the identity associated with the use of the popular social media, the Facebook. This study showed significant associations between depression and the number of identity-related information pieces shared on this social network. Neira and Barber (2014) explored the relationship between students’ social media use and depressed mood at teenage. No significant correlation was found between these two variables. In the same year, Tsitsika et al. (2014) explored the associations between excessive use of social media and internalizing emotions. These researchers found a positive correlation between more than 2-h a day use of social media and anxiety and depression.

Hanprathet et al. (2015) reported a statistically significant positive correlation between addiction to Facebook and depression among about a thousand high school students in wealthy populations of Thailand and warned against this psychological threat. Sampasa-Kanyinga and Lewis (2015) examined the relationship between social media use and psychological distress. These researchers found that the use of social media for more than 2 h a day was correlated with a higher intensity of psychological distress. Banjanin et al. (2015) tested the relationship between too much use of social networking and depression, yet found no statistically significant correlation between these two variables. Frison and Eggermont (2016) examined the relationships between different forms of Facebook use, perceived social support of social media, and male and female students’ depressed mood. These researchers found a positive association between the passive use of the Facebook and depression and also between the active use of the social media and depression. Furthermore, the perceived social support of the social media was found to mediate this association. Besides, gender was found as the other factor to mediate this relationship.

Vernon et al. (2017) explored change in negative investment in social networking in relation to change in depression and externalizing behavior. These researchers found that increased investment in social media predicted higher depression in adolescent students, which was a function of the effect of higher levels of disrupted sleep. Barry et al. (2017) explored the associations between the use of social media by adolescents and their psychosocial adjustment. Social media activity showed to be positively and moderately associated with depression and anxiety. Another investigation was focused on secondary school students in China conducted by Li et al. (2017) . The findings showed a mediating role of insomnia on the significant correlation between depression and addiction to social media. In the same year, Yan et al. (2017) aimed to explore the time spent on social networks and its correlation with anxiety among middle school students. They found a significant positive correlation between more than 2-h use of social networks and the intensity of anxiety.

Also in China, Wang et al. (2018) showed that addiction to social networking sites was correlated positively with depression, and this correlation was mediated by rumination. These researchers also found that this mediating effect was moderated by self-esteem. It means that the effect of addiction on depression was compounded by low self-esteem through rumination. In another work of research, Drouin et al. (2018) showed that though social media is expected to act as a form of social support for the majority of university students, it can adversely affect students’ mental well-being, especially for those who already have high levels of anxiety and depression. In their research, the social media resources were found to be stress-inducing for half of the participants, all university students. The higher education population was also studied by Iwamoto and Chun (2020) . These researchers investigated the emotional effects of social media in higher education and found that the socially supportive role of social media was overshadowed in the long run in university students’ lives and, instead, fed into their perceived depression, anxiety, and stress.

Keles et al. (2020) provided a systematic review of the effect of social media on young and teenage students’ depression, psychological distress, and anxiety. They found that depression acted as the most frequent affective variable measured. The most salient risk factors of psychological distress, anxiety, and depression based on the systematic review were activities such as repeated checking for messages, personal investment, the time spent on social media, and problematic or addictive use. Similarly, Mathewson (2020) investigated the effect of using social media on college students’ mental health. The participants stated the experience of anxiety, depression, and suicidality (thoughts of suicide or attempts to suicide). The findings showed that the types and frequency of using social media and the students’ perceived mental health were significantly correlated with each other.

The body of research on the effect of social media on students’ affective and emotional states has led to mixed results. The existing literature shows that there are some positive and some negative affective impacts. Yet, it seems that the latter is pre-dominant. Mathewson (2020) attributed these divergent positive and negative effects to the different theoretical frameworks adopted in different studies and also the different contexts (different countries with whole different educational systems). According to Fredrickson’s broaden-and-build theory of positive emotions ( Fredrickson, 2001 ), the mental repertoires of learners can be built and broadened by how they feel. For instance, some external stimuli might provoke negative emotions such as anxiety and depression in learners. Having experienced these negative emotions, students might repeatedly check their messages on social media or get addicted to them. As a result, their cognitive repertoire and mental capacity might become limited and they might lose their concentration during their learning process. On the other hand, it should be noted that by feeling positive, learners might take full advantage of the affordances of the social media and; thus, be able to follow their learning goals strategically. This point should be highlighted that the link between the use of social media and affective states is bi-directional. Therefore, strategic use of social media or its addictive use by students can direct them toward either positive experiences like enjoyment or negative ones such as anxiety and depression. Also, these mixed positive and negative effects are similar to the findings of several other relevant studies on general populations’ psychological and emotional health. A number of studies (with general research populations not necessarily students) showed that social networks have facilitated the way of staying in touch with family and friends living far away as well as an increased social support ( Zhang, 2017 ). Given the positive and negative emotional effects of social media, social media can either scaffold the emotional repertoire of students, which can develop positive emotions in learners, or induce negative provokers in them, based on which learners might feel negative emotions such as anxiety and depression. However, admittedly, social media has also generated a domain that encourages the act of comparing lives, and striving for approval; therefore, it establishes and internalizes unrealistic perceptions ( Virden et al., 2014 ; Radovic et al., 2017 ).

It should be mentioned that the susceptibility of affective variables to social media should be interpreted from a dynamic lens. This means that the ecology of the social media can make changes in the emotional experiences of learners. More specifically, students’ affective variables might self-organize into different states under the influence of social media. As for the positive correlation found in many studies between the use of social media and such negative effects as anxiety, depression, and stress, it can be hypothesized that this correlation is induced by the continuous comparison the individual makes and the perception that others are doing better than him/her influenced by the posts that appear on social media. Using social media can play a major role in university students’ psychological well-being than expected. Though most of these studies were correlational, and correlation is not the same as causation, as the studies show that the number of participants experiencing these negative emotions under the influence of social media is significantly high, more extensive research is highly suggested to explore causal effects ( Mathewson, 2020 ).

As the review of exemplary studies showed, some believed that social media increased comparisons that students made between themselves and others. This finding ratifies the relevance of the Interpretation Comparison Model ( Stapel and Koomen, 2000 ; Stapel, 2007 ) and Festinger’s (1954) Social Comparison Theory. Concerning the negative effects of social media on students’ psychology, it can be argued that individuals may fail to understand that the content presented in social media is usually changed to only represent the attractive aspects of people’s lives, showing an unrealistic image of things. We can add that this argument also supports the relevance of the Social Comparison Theory and the Interpretation Comparison Model ( Stapel and Koomen, 2000 ; Stapel, 2007 ), because social media sets standards that students think they should compare themselves with. A constant observation of how other students or peers are showing their instances of achievement leads to higher self-evaluation ( Stapel and Koomen, 2000 ). It is conjectured that the ubiquitous role of social media in student life establishes unrealistic expectations and promotes continuous comparison as also pinpointed in the Interpretation Comparison Model ( Stapel and Koomen, 2000 ; Stapel, 2007 ).

Implications of the study

The use of social media is ever increasing among students, both at school and university, which is partly because of the promises of technological advances in communication services and partly because of the increased use of social networks for educational purposes in recent years after the pandemic. This consistent use of social media is not expected to leave students’ psychological, affective and emotional states untouched. Thus, it is necessary to know how the growing usage of social networks is associated with students’ affective health on different aspects. Therefore, we found it useful to summarize the research findings in recent years in this respect. If those somehow in charge of student affairs in educational settings are aware of the potential positive or negative effects of social media usage on students, they can better understand the complexities of students’ needs and are better capable of meeting them.

Psychological counseling programs can be initiated at schools or universities to check upon the latest state of students’ mental and emotional health influenced by the pervasive use of social media. The counselors can be made aware of the potential adverse effects of social networking and can adapt the content of their inquiries accordingly. Knowledge of the potential reasons for student anxiety, depression, and stress can help school or university counselors to find individualized coping strategies when they diagnose any symptom of distress in students influenced by an excessive use of social networking.

Admittedly, it is neither possible to discard the use of social media in today’s academic life, nor to keep students’ use of social networks fully controlled. Certainly, the educational space in today’s world cannot do without the social media, which has turned into an integral part of everybody’s life. Yet, probably students need to be instructed on how to take advantage of the media and to be the least affected negatively by its occasional superficial and unrepresentative content. Compensatory programs might be needed at schools or universities to encourage students to avoid making unrealistic and impartial comparisons of themselves and the flamboyant images of others displayed on social media. Students can be taught to develop self-appreciation and self-care while continuing to use the media to their benefit.

The teachers’ role as well as the curriculum developers’ role are becoming more important than ever, as they can significantly help to moderate the adverse effects of the pervasive social media use on students’ mental and emotional health. The kind of groupings formed for instructional purposes, for example, in social media can be done with greater care by teachers to make sure that the members of the groups are homogeneous and the tasks and activities shared in the groups are quite relevant and realistic. The teachers cannot always be in a full control of students’ use of social media, and the other fact is that students do not always and only use social media for educational purposes. They spend more time on social media for communicating with friends or strangers or possibly they just passively receive the content produced out of any educational scope just for entertainment. This uncontrolled and unrealistic content may give them a false image of life events and can threaten their mental and emotional health. Thus, teachers can try to make students aware of the potential hazards of investing too much of their time on following pages or people that publish false and misleading information about their personal or social identities. As students, logically expected, spend more time with their teachers than counselors, they may be better and more receptive to the advice given by the former than the latter.

Teachers may not be in full control of their students’ use of social media, but they have always played an active role in motivating or demotivating students to take particular measures in their academic lives. If teachers are informed of the recent research findings about the potential effects of massively using social media on students, they may find ways to reduce students’ distraction or confusion in class due to the excessive or over-reliant use of these networks. Educators may more often be mesmerized by the promises of technology-, computer- and mobile-assisted learning. They may tend to encourage the use of social media hoping to benefit students’ social and interpersonal skills, self-confidence, stress-managing and the like. Yet, they may be unaware of the potential adverse effects on students’ emotional well-being and, thus, may find the review of the recent relevant research findings insightful. Also, teachers can mediate between learners and social media to manipulate the time learners spend on social media. Research has mainly indicated that students’ emotional experiences are mainly dependent on teachers’ pedagogical approach. They should refrain learners from excessive use of, or overreliance on, social media. Raising learners’ awareness of this fact that individuals should develop their own path of development for learning, and not build their development based on unrealistic comparison of their competences with those of others, can help them consider positive values for their activities on social media and, thus, experience positive emotions.

At higher education, students’ needs are more life-like. For example, their employment-seeking spirits might lead them to create accounts in many social networks, hoping for a better future. However, membership in many of these networks may end in the mere waste of the time that could otherwise be spent on actual on-campus cooperative projects. Universities can provide more on-campus resources both for research and work experience purposes from which the students can benefit more than the cyberspace that can be tricky on many occasions. Two main theories underlying some negative emotions like boredom and anxiety are over-stimulation and under-stimulation. Thus, what learners feel out of their involvement in social media might be directed toward negative emotions due to the stimulating environment of social media. This stimulating environment makes learners rely too much, and spend too much time, on social media or use them obsessively. As a result, they might feel anxious or depressed. Given the ubiquity of social media, these negative emotions can be replaced with positive emotions if learners become aware of the psychological effects of social media. Regarding the affordances of social media for learners, they can take advantage of the potential affordances of these media such as improving their literacy, broadening their communication skills, or enhancing their distance learning opportunities.

A review of the research findings on the relationship between social media and students’ affective traits revealed both positive and negative findings. Yet, the instances of the latter were more salient and the negative psychological symptoms such as depression, anxiety, and stress have been far from negligible. These findings were discussed in relation to some more relevant theories such as the social comparison theory, which predicted that most of the potential issues with the young generation’s excessive use of social media were induced by the unfair comparisons they made between their own lives and the unrealistic portrayal of others’ on social media. Teachers, education policymakers, curriculum developers, and all those in charge of the student affairs at schools and universities should be made aware of the psychological effects of the pervasive use of social media on students, and the potential threats.

It should be reminded that the alleged socially supportive and communicative promises of the prevalent use of social networking in student life might not be fully realized in practice. Students may lose self-appreciation and gratitude when they compare their current state of life with the snapshots of others’ or peers’. A depressed or stressed-out mood can follow. Students at schools or universities need to learn self-worth to resist the adverse effects of the superficial support they receive from social media. Along this way, they should be assisted by the family and those in charge at schools or universities, most importantly the teachers. As already suggested, counseling programs might help with raising students’ awareness of the potential psychological threats of social media to their health. Considering the ubiquity of social media in everybody’ life including student life worldwide, it seems that more coping and compensatory strategies should be contrived to moderate the adverse psychological effects of the pervasive use of social media on students. Also, the affective influences of social media should not be generalized but they need to be interpreted from an ecological or contextual perspective. This means that learners might have different emotions at different times or different contexts while being involved in social media. More specifically, given the stative approach to learners’ emotions, what learners emotionally experience in their application of social media can be bound to their intra-personal and interpersonal experiences. This means that the same learner at different time points might go through different emotions Also, learners’ emotional states as a result of their engagement in social media cannot be necessarily generalized to all learners in a class.

As the majority of studies on the psychological effects of social media on student life have been conducted on school students than in higher education, it seems it is too soon to make any conclusive remark on this population exclusively. Probably, in future, further studies of the psychological complexities of students at higher education and a better knowledge of their needs can pave the way for making more insightful conclusions about the effects of social media on their affective states.

Suggestions for further research

The majority of studies on the potential effects of social media usage on students’ psychological well-being are either quantitative or qualitative in type, each with many limitations. Presumably, mixed approaches in near future can better provide a comprehensive assessment of these potential associations. Moreover, most studies on this topic have been cross-sectional in type. There is a significant dearth of longitudinal investigation on the effect of social media on developing positive or negative emotions in students. This seems to be essential as different affective factors such as anxiety, stress, self-esteem, and the like have a developmental nature. Traditional research methods with single-shot designs for data collection fail to capture the nuances of changes in these affective variables. It can be expected that more longitudinal studies in future can show how the continuous use of social media can affect the fluctuations of any of these affective variables during the different academic courses students pass at school or university.

As already raised in some works of research reviewed, the different patterns of impacts of social media on student life depend largely on the educational context. Thus, the same research designs with the same academic grade students and even the same age groups can lead to different findings concerning the effects of social media on student psychology in different countries. In other words, the potential positive and negative effects of popular social media like Facebook, Snapchat, Twitter, etc., on students’ affective conditions can differ across different educational settings in different host countries. Thus, significantly more research is needed in different contexts and cultures to compare the results.

There is also a need for further research on the higher education students and how their affective conditions are positively and negatively affected by the prevalent use of social media. University students’ psychological needs might be different from other academic grades and, thus, the patterns of changes that the overall use of social networking can create in their emotions can be also different. Their main reasons for using social media might be different from school students as well, which need to be investigated more thoroughly. The sorts of interventions needed to moderate the potential negative effects of social networking on them can be different too, all requiring a new line of research in education domain.

Finally, there are hopes that considering the ever-increasing popularity of social networking in education, the potential psychological effects of social media on teachers be explored as well. Though teacher psychology has only recently been considered for research, the literature has provided profound insights into teachers developing stress, motivation, self-esteem, and many other emotions. In today’s world driven by global communications in the cyberspace, teachers like everyone else are affecting and being affected by social networking. The comparison theory can hold true for teachers too. Thus, similar threats (of social media) to self-esteem and self-worth can be there for teachers too besides students, which are worth investigating qualitatively and quantitatively.

Probably a new line of research can be initiated to explore the co-development of teacher and learner psychological traits under the influence of social media use in longitudinal studies. These will certainly entail sophisticated research methods to be capable of unraveling the nuances of variation in these traits and their mutual effects, for example, stress, motivation, and self-esteem. If these are incorporated within mixed-approach works of research, more comprehensive and better insightful findings can be expected to emerge. Correlational studies need to be followed by causal studies in educational settings. As many conditions of the educational settings do not allow for having control groups or randomization, probably, experimental studies do not help with this. Innovative research methods, case studies or else, can be used to further explore the causal relations among the different features of social media use and the development of different affective variables in teachers or learners. Examples of such innovative research methods can be process tracing, qualitative comparative analysis, and longitudinal latent factor modeling (for a more comprehensive view, see Hiver and Al-Hoorie, 2019 ).

Author contributions

Both authors listed have made a substantial, direct, and intellectual contribution to the work, and approved it for publication.

This study was sponsored by Wuxi Philosophy and Social Sciences bidding project—“Special Project for Safeguarding the Rights and Interests of Workers in the New Form of Employment” (Grant No. WXSK22-GH-13). This study was sponsored by the Key Project of Party Building and Ideological and Political Education Research of Nanjing University of Posts and Telecommunications—“Research on the Guidance and Countermeasures of Network Public Opinion in Colleges and Universities in the Modern Times” (Grant No. XC 2021002).

Conflict of interest

Author XX was employed by China Mobile Group Jiangsu Co., Ltd.

The remaining author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

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Keywords : affective variables, education, emotions, social media, post-pandemic, emotional needs

Citation: Chen M and Xiao X (2022) The effect of social media on the development of students’ affective variables. Front. Psychol. 13:1010766. doi: 10.3389/fpsyg.2022.1010766

Received: 03 August 2022; Accepted: 25 August 2022; Published: 15 September 2022.

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Copyright © 2022 Chen and Xiao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Miao Chen, [email protected] ; Xin Xiao, [email protected]

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.